Paper
4 August 2003 Self-adaptive strategy searching for the faint target
Zhenming Peng, Qiheng Zhang, Jingru Wang
Author Affiliations +
Abstract
Searching for the faint target is thought as a very difficult subject in imaging track system. The target shows the complex characteristics, for example low S/N ratio, low contrast, small size, blurry edge, even flicker, discontinuous image, changeful brightness during the target’s moving. It’s difficult to track the target with high-precision and wellstability. In this paper, a new algorithm searching for the target adaptively was proposed. This method fully uses the correlation of target’s multi-characteristics fusion as criterion and fitness function during searching. Then calculate its position coordinate using global and adaptive genetic algorithm by searching for it. Experimental results demonstrate that this method improve not only detection precision, but also stability and intelligence strategy in tracking.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenming Peng, Qiheng Zhang, and Jingru Wang "Self-adaptive strategy searching for the faint target", Proc. SPIE 5082, Acquisition, Tracking, and Pointing XVII, (4 August 2003); https://doi.org/10.1117/12.484802
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image fusion

Data fusion

Detection and tracking algorithms

Fractal analysis

Genetic algorithms

Binary data

Genetics

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